Smart Vision-Enabled Real-Time Monitoring for Fitness Freaks with a Feedback System

B. Muthu Senthil *, Uvan Shankar M.**, Tintu Mathew ***, Saranya G. ****
*-**** Department of Computer Science and Engineering, SRM Valliammai Engineering College, Kattankulathur, Tamil Nadu, India.
Periodicity:July - December'2020
DOI : https://doi.org/10.26634/jcc.7.2.18136

Abstract

In the contemporary world, lack of physical fitness is causing several diseases like heart problems, obesity, high blood pressure, diabetes, etc. Anxiety and depression are also major health concerns today. Regular exercise is mandatory for a healthy lifestyle as it combats health conditions and diseases. Proper physical training is essential to meet specific fitness goals and get real benefits. Fitness coaching facilities are expensive and there is a lack of trained professionals. Due to these reasons, people do the exercises themselves. They often get injured due to improper posture and do not get the expected results. This discourages people to do exercise regularly. Our model proposes a virtual physical trainer that can assist users during their exercise. It can provide real-time quality feedback to the users. During exercise, the user's video is recorded and given as input to the pose estimation and machine learning algorithms. After comparing the results with the original exercise models, corrections are sent to the user instantly as audio.

Keywords

Smart-vision, Fitness, Pose Estimation, Machine Learning (ML), Real-Time Feedback, E-health Care, Pre-Trained Models.

How to Cite this Article?

Senthil, B. M., Shankar, M. U., Mathew, T., and Saranya, G. (2020). Smart Vision-Enabled Real-Time Monitoring for Fitness Freaks with a Feedback System. i-manager's Journal on Cloud Computing, 7(2), 1-7. https://doi.org/10.26634/jcc.7.2.18136

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